Salesforce AI Specialist Salesforce Certified AI Specialist Exam Practice Test

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Total 96 questions
Question 1

Universal Containers (UC) wants to enable its sales team with automatic post-call visibility into mention of competitors, products, and other custom phrases.

Which feature should the AI Specialist set up to enable UC's sales team?



Answer : C

To enable Universal Containers' sales team with automatic post-call visibility into mentions of competitors, products, and custom phrases, the AI Specialist should set up Call Insights. Call Insights analyzes voice and video calls for key phrases, topics, and mentions, providing insights into critical aspects of the conversation. This feature automatically surfaces key details such as competitor mentions, product discussions, and custom phrases specified by the sales team.

Call Summaries provide a general overview of the call but do not specifically highlight keywords or topics.

Call Explorer is a tool for navigating through call data but does not focus on automatic insights.

For more information, refer to Salesforce's Call Insights documentation regarding the analysis of call content and extracting actionable information.


Question 2

What is the primary function of the planner service in the Einstein Copilot system?



Answer : C

The primary function of the planner service in the Einstein Copilot system is to identify copilot actions that should be taken in response to user utterances. This service is responsible for analyzing the conversation and determining the appropriate actions (such as querying records, generating a response, or taking another action) that the Einstein Copilot should perform based on user input.


Question 3

When configuring a prompt template, an AI Specialist previews the results of the prompt template they've written. They see two distinct text outputs: Resolution and Response.

Which information does the Resolution text provide?



Answer : B

When previewing a prompt template in Salesforce, the Resolution text provides the response from the LLM (Large Language Model) based on the data from a sample record. This output shows what the AI model generated in response to the prompt, giving the AI Specialist a chance to review and adjust the response before finalizing the template.

Option B is correct because Resolution displays the actual response generated by the LLM.

Option A refers to sending the text to the Trust Layer, but that's not what Resolution represents.

Option C relates to data masking, which is shown elsewhere, not under Resolution.


Salesforce Prompt Builder Overview: https://help.salesforce.com/s/articleView?id=sf.prompt_builder_overview.htm

Question 4

Universal Containers wants to be able to detect with a high level confidence if content generated by a large language model (LLM) contains toxic language.

Which action should an Al Specialist take in the Trust Layer to confirm toxicity is being appropriately managed?



Answer : C

To ensure that content generated by a large language model (LLM) is appropriately screened for toxic language, the AI Specialist should create a Trust Layer audit report within Data Cloud. By using the toxicity detector type filter, the report can display toxic responses along with their respective toxicity scores, allowing Universal Containers to monitor and manage any toxic content generated with a high level of confidence.

Option C is correct because it enables visibility into toxic language detection within the Trust Layer and allows for auditing responses for toxicity.

Option A suggests checking a toxicity detection log, but Salesforce provides more comprehensive options via the audit report.

Option B involves creating a flow, which is unnecessary for toxicity detection monitoring.


Salesforce Trust Layer Documentation: https://help.salesforce.com/s/articleView?id=sf.einstein_trust_layer_audit.htm

Question 5

Universal Containers' service team wants to customize the standard case summary response from Einstein Copilot.

What should the AI Specialist do to achieve this?



Answer : C

To customize the case summary response from Einstein Copilot, the AI Specialist should create a custom Record Summary prompt template for the Case object. This allows Universal Containers to tailor the way case data is summarized, ensuring the output aligns with specific business requirements or user preferences.

Option A (customizing the standard Record Summary template) does not provide the flexibility required for deep customization.

Option B (standard Copilot action) won't allow customization; it will only use default settings.

Refer to Salesforce Prompt Builder documentation for guidance on creating custom templates for record summaries.


Question 6

Universal Containers has an active standard email prompt template that does not fully deliver on the business requirements.

Which steps should an AI Specialist take to use the content of the standard prompt email template in question and customize it to fully meet the business requirements?



Answer : A

When an active standard email prompt template doesn't meet the business requirements, the best approach is to clone the existing template and modify it as needed. Cloning allows the AI Specialist to preserve the original template while making adjustments to fit specific business needs. This ensures that any customizations are applied without altering the original standard template.

Saving as a new version is typically used for versioning changes in the same template, while Save as New Template creates a brand-new template without linking to the existing one. Cloning provides a balance, allowing modifications while retaining the original structure for future reference.

For more details, refer to Salesforce Prompt Builder documentation for guidance on cloning and modifying templates.


Question 7

Universal Containers (UC) is using Einstein Generative AI to generate an account summary. UC aims to ensure the content is safe and inclusive, utilizing the Einstein Trust Layer's toxicity scoring to assess the

content's safety level.

What does a safety category score of 1 indicate in the Einstein Generative Toxicity Score?



Answer : B

In the Einstein Trust Layer, the toxicity scoring system is used to evaluate the safety level of content generated by AI, particularly to ensure that it is non-toxic, inclusive, and appropriate for business contexts. A toxicity score of 1 indicates that the content is deemed safe.

The scoring system ranges from 0 (unsafe) to 1 (safe), with intermediate values indicating varying degrees of safety. In this case, a score of 1 means that the generated content is fully safe and meets the trust and compliance guidelines set by the Einstein Trust Layer.

For further reference, check Salesforce's official Einstein Trust Layer documentation regarding toxicity scoring for AI-generated content.


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Total 96 questions